Triple
T38214222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borat film series |
E1010639
|
entity |
| Predicate | featuresFictionalNationality |
—
|
GENERATED |
| Object | Kazakh |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresFictionalNationality Context triple: [Borat film series, featuresFictionalNationality, Kazakh]
-
A.
featuresNationality
Indicates that an entity includes, presents, or is associated with a particular nationality.
-
B.
nationalityOfFictionalSetting
chosen
Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
-
C.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
D.
fictionalCharacterFrom
Indicates that a fictional character originates from, or is created within, a particular work, universe, or source.
-
E.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.